flatbuffers
The FlatBuffers serialization format for Python
Decision gist · record as of 2026-08-14
Yes. FlatBuffers is a mature, actively maintained library from Google with no known vulnerabilities, permissive licensing, and zero runtime dependencies. Install it if you need efficient cross-language serialization or zero-copy data access. The main gotcha is that you need the flatc compiler (built separately) to generate code from schemas; the PyPI package is the runtime only.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- To generate code from schema files (.fbs), you need the flatc compiler built separately; the PyPI package provides only the Python runtime library.
- Installs cleanly with no runtime dependencies; the package is actively maintained with a recent release and a large repository presence.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), so you can use it freely in commercial and private projects without copyleft obligations.
last release 2025-12-19 (238 days) · last repo commit 2026-08-11 · 26,330 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,427,122 downloads/mo, #340 on PyPI
Alternatives
Verify before relying
pip install flatbuffers
import flatbuffers
builder = flatbuffers.Builder()
# Use builder to construct a serialized buffer- Whether the PyPI package includes pre-built flatc binaries or requires separate compilation from source.
- Performance characteristics and memory overhead compared to other serialization formats in typical workloads.
- Maturity and stability of Python 2 support given the classifier lists it but Python 2 reached end-of-life.
What it is and what it does
FlatBuffers is a serialization library designed for maximum memory efficiency by allowing direct access to serialized data without intermediate parsing or unpacking steps. It works across multiple programming languages and maintains forward and backward compatibility as schemas evolve, making it useful for systems that need to exchange structured data efficiently.
The Python package provides the runtime library for reading and writing FlatBuffers data. To use it, you typically define your data schema in a .fbs file, compile it with the flatc tool to generate Python code, then use the generated accessors and the FlatBufferBuilder to serialize and deserialize your data. The library is widely used in performance-sensitive applications where minimizing memory overhead and serialization latency matters.
Use it for
- Serialize structured data for transmission between services or storage on disk when memory efficiency is critical.
- Exchange data between Python and other languages with guaranteed compatibility across versions.
- Build real-time systems where avoiding parsing overhead improves latency and throughput.
- Maintain backward compatibility when evolving data schemas without breaking existing clients.
- Store large datasets in a compact binary format that can be read without full deserialization.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
FlatBuffers is a mature, actively maintained library from Google with no known vulnerabilities, permissive licensing, and zero runtime dependencies. Install it if you need efficient cross-language serialization or zero-copy data access. The main gotcha is that you need the flatc compiler (built separately) to generate code from schemas; the PyPI package is the runtime only.
Install
flatbuffers on PyPI
Before you install
Installs cleanly with no runtime dependencies; the package is actively maintained with a recent release and a large repository presence.
To generate code from schema files (.fbs), you need the flatc compiler built separately; the PyPI package provides only the Python runtime library.
License in practice
Licensed under Apache 2.0 (permissive), so you can use it freely in commercial and private projects without copyleft obligations.
Quickstart
pip install flatbuffers
import flatbuffers
builder = flatbuffers.Builder()
# Use builder to construct a serialized bufferVerify before relying
- Whether the PyPI package includes pre-built flatc binaries or requires separate compilation from source.
- Performance characteristics and memory overhead compared to other serialization formats in typical workloads.
- Maturity and stability of Python 2 support given the classifier lists it but Python 2 reached end-of-life.
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 238 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 101,427,122 / month, #340 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python Modules |
Evidence: flatbuffers-25.12.19-py2.py3-none-any.whl
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